Deploy decision models with llama.cpp on Amazon SageMaker AI

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Applications that route requests, select agent actions, or assign policy outcomes often need scores over a fixed set of choices instead of free-form text. Deploying these decision models with llama.cpp on Amazon SageMaker AI gives you a managed path for serving quantized models on CPU or GPU infrastructure. This post continues a series on specialized AWS Deep Learning Containers (DLCs) for generative AI inference. Previous posts cover WhisperX , vLLM-Omni – Part 1 , and vLLM-Omni – Part 2 . In…